Full OpenClaw Crypto Bot Setup
Budget: €250 – €750 EUR
I need my OpenClaw AI agent taken from zero to live, fully autonomous trading on BTC and SOL at Blofin. I already hold the API keys, so you can dive straight into configuration instead of account-level wrangling.
Here is what I expect to be done and documented:
• Build and tune strategy/skill files by scraping or otherwise ingesting reputable public trader data, then encoding it in OpenClaw’s YAML/JSON skill format.
• Configure a layered risk framework that combines fixed-percentage sizing, classic stop-loss / take-profit brackets, and a dynamic volatility filter so position limits flex with market conditions.
• Wire the bot to my Blofin spot (and if useful, perpetuals) endpoints, handling auth renewal, rate-limit compliance, and error-tolerant order handling.
• Implement backtests on at least three years of BTC and SOL data, reporting PnL, max drawdown, Sharpe, and hit rate; optimise only within clearly logged parameter bounds.
• Enable 24/7 cloud-based monitoring, including automatic re-start on failures and a Telegram or Discord webhook for trade-time alerts and critical errors.
• Produce step-by-step documentation: environment setup, config variables, deployment and daily operational tasks.
Acceptance is simple: the bot must place live orders from a dockerised or virtual-env install, respect the defined risk rules and mirror the back-test behaviour within reasonable slippage on a small live allocation.
If you’ve deployed OpenClaw (or similar Python-first frameworks such as Freqtrade, Catalyst or Jesse) into production before, let me know—speed and prior battle scars count.
Budget note: Starting with a small live allocation of $250–$500 for initial testing. The strategy should support scaling up once performance is validated.
In your proposal please include:
- Examples of similar bots or trading agents you have built
- Your estimated timeline
- Whether you can provide ongoing support/maintenance after delivery
Here is what I expect to be done and documented:
• Build and tune strategy/skill files by scraping or otherwise ingesting reputable public trader data, then encoding it in OpenClaw’s YAML/JSON skill format.
• Configure a layered risk framework that combines fixed-percentage sizing, classic stop-loss / take-profit brackets, and a dynamic volatility filter so position limits flex with market conditions.
• Wire the bot to my Blofin spot (and if useful, perpetuals) endpoints, handling auth renewal, rate-limit compliance, and error-tolerant order handling.
• Implement backtests on at least three years of BTC and SOL data, reporting PnL, max drawdown, Sharpe, and hit rate; optimise only within clearly logged parameter bounds.
• Enable 24/7 cloud-based monitoring, including automatic re-start on failures and a Telegram or Discord webhook for trade-time alerts and critical errors.
• Produce step-by-step documentation: environment setup, config variables, deployment and daily operational tasks.
Acceptance is simple: the bot must place live orders from a dockerised or virtual-env install, respect the defined risk rules and mirror the back-test behaviour within reasonable slippage on a small live allocation.
If you’ve deployed OpenClaw (or similar Python-first frameworks such as Freqtrade, Catalyst or Jesse) into production before, let me know—speed and prior battle scars count.
Budget note: Starting with a small live allocation of $250–$500 for initial testing. The strategy should support scaling up once performance is validated.
In your proposal please include:
- Examples of similar bots or trading agents you have built
- Your estimated timeline
- Whether you can provide ongoing support/maintenance after delivery